Evaluation Model of English Diagnostic Intelligence Based on Organizational Evolutionary Information Entropy

Algorithm 1

English diagnostic intelligence evaluation algorithm of organizational evolutionary information entropy.

	//There are m classes
	//The number of training samples is ex
	//The ith sample is labeled ei
	Void DDCAOEE (void)
	{
	for(i = l; i i++)
	If (class name of ei cj)
	Ei was added into population P as ordinary tissue.
	0 T =
	While(the termination condition is not met)
	J = l
	while(j< =m)
	{
	While(the number of tissues in p is not 0)
	{Rule extraction algorithm extracts classification rules from the final evolving population
	}